IoT in Healthcare and Ambient Assisted Living (Studies in Computational Intelligence, 933)

Preface
About This Book
Contents
About the Editors
The Internet of Things for Healthcare: Applications, Selected Cases and Challenges
	1 Introduction
	2 IoT and Healthcare
	3 Applications of IoT in Healthcare
	4 Selected Cases of Using IoT in Healthcare
	5 Challenges of IoT in Healthcare
		5.1 Technical Challenges
		5.2 Financial Challenges
		5.3 Ethical Challenges
	6 Discussion
	7 Conclusions
	References
IoT-Based Computational Frameworks in Disease Prediction and Healthcare Management: Strategies, Challenges, and Potential
	1 Introduction
	2 Disease Prediction and Healthcare Network
	3 Medical History Analysis
		3.1 Cloud-Based EMR Software
		3.2 Server-Based EMR Software
	4 Cloud Computing System
		4.1 Fog-Assisted Cloud Computing
		4.2 Edge-Assisted Cloud Computing
	5 Clinical Trial Monitoring
		5.1 Trial Oversight Committees
		5.2 Central Monitoring
		5.3 Drug Monitoring
	6 Sensor-Based Healthcare Monitoring
	7 Remote Healthcare System
	8 Mobile Health (M-Health)
		8.1 Telehealth and Telemedicine
	9 Internet-Assisted Healthcare Management for the Global Pandemic of COVID-19
		9.1 Disease Prediction and Diagnosis
		9.2 Healthcare Management
		9.3 Drug Development and Treatment
		9.4 Healthcare Management in India
	10 Prospects and Challenges
	11 Conclusion
	References
SmartHealth: IoT-Enabled Context-Aware 5G Ambient Cloud Platform
	1 Introduction
	2 Learning Healthcare System
	3 Energy-Efficient 5G Secure Social D2D Cloud Intellect for Diagnostics
		3.1 SmartHealth Context-Aware 5G Ambient Cloud Platform
	4 Understanding Problem Domain for Healthcare in Case of Traditional Diagnostics of Diabetes Mellitus with Underlying Diseases
		4.1 Diagnosis of Diabetes Mellitus
		4.2 Major Causes of Diabetes
		4.3 Formation of Diagnosis of Diabetes
		4.4 Complications from Diabetes Resulting in Comorbidity Diseases
		4.5 Diagnostic Model of Diabetes Mellitus with Underlying Liver Cirrhosis
		4.6 Diagnostic Challenges for Diabetes and Underlying Liver Cirrhosis
		4.7 Continuous Monitoring and a Comprehensive Management Plan for Diabetic Patients
		4.8 Shifting from Traditional to Automated Investigative Diagnostic System for Diabetes and Underlying Liver Cirrhosis or Other Chronic Diseases
	5 Aim and Objectives of Research
		5.1 Data Modeling
		5.2 SmartHealth Hybrid Simulation Model
	6 Research Methodology
		6.1 Research Challenges
	7 Contribution of SmartHealth Community Cloud Simulation
	8 Conclusion
	References
Internet of Things in Healthcare: A Survey of Telemedicine Systems Used for Elderly People
	1 Introduction
	2 Materials and Methods
		2.1 Data Collection
		2.2 Data Inclusion Criteria
		2.3 Raw Data Analysis
		2.4 Analysis of Telecare System Platform, Algorithm, Encryption Method, IoT Hub System, Operating System, Communication System, Sensors, Hardware, Data Storage and Network System Data Inclusion Criteria
	3 Results
		3.1 Sensors Used in Healthcare Systems in Telemedicine
		3.2 Communication Systems Used in Telemedicine
		3.3 Operating Systems Used in IoT-Based Healthcare Systems
	4 Discussion
	5 Conclusion
	References
Remote Patient Monitoring: Health Status Detection and Prediction in IoT-Based Health Care
	1 Introduction
	2 Basic Concept in Healthcare Systems
	3 Typical IoT-Based Healthcare System
		3.1 Cloud-Centric IoT-Based Healthcare System
		3.2 Non-cloud-Centric IoT-Based Healthcare System
	4 IoT-Based Healthcare System with Edge Computing
	5 Open Research and Challenges
	6 Conclusion
	References
IoMT-Based Wearable Body Sensors Network Healthcare Monitoring System
	1 Introduction
	2 The Internet of Medical Things
	3 The Wearable Body Sensors Network in Health Care
	4 Sensor Devices on Internet F Medical Things
	5 IoMT-Based Wearable Body Sensors Network Framework for Healthcare Monitoring System
	6 Practical Case of Diabetes IoMT-Based WBSN Monitoring System
	7 Results
	8 Discussion and Future Research Directions
	9 Conclusion
	References
Wearable Sensors for Pervasive and Personalized Health Care
	1 Introduction
	2 Wearables Architecture in IoT
		2.1 Wearable Body Area Sensors
		2.2 Internet-Connected Gateway
		2.3 Cloud and Big Data Support
	3 Parameters Used for Wearable Systems
		3.1 Heart Activity
		3.2 Blood Pressure
		3.3 Blood Oxygen Saturation
		3.4 Respiration
		3.5 Bio Chemical Measurements
	4 Wearable Health Devices
		4.1 Patient Monitoring System
		4.2 Smart Home Health Care
		4.3 Context-Aware Real-Time Assistant
		4.4 Personal Health Advisor System
		4.5 Personalized Sensor-Based System
		4.6 A Hybrid Mobile Cloud Approach for ECG Telemonitoring
		4.7 Wearable Implants
		4.8 Wearable Multifunction Physiological Monitoring Devices
		4.9 Sensors for Human Activity Monitoring
		4.10 Activity Monitor
		4.11 A Human Context Recognition System
		4.12 Smart Wrist Gadget
		4.13 Smart Wheelchair
		4.14 Smart Walker
		4.15 Mobile Health
		4.16 Intelligent Emergency Management System
		4.17 Human Daily Activity Recognition with Sparse Representation
		4.18 Patient-Friendly Wearable Design
		4.19 Sleep Tracking Devices
	5 Conclusion
	References
Adoption of Wearable Devices by Persons with Dementia: Lessons from a Non-pharmacological Intervention Enabled by a Social Robot
	1 Introduction
	2 Use and Adoption of Wearable Devices in PwDs
	3 AAL Setting for Dementia Care
	4 Monitoring a Non-pharmacological Intervention for Dementia Using Wearable Devices
		4.1 Study Design
		4.2 Materials and Methods
		4.3 Strategies to Promote the Use of Wearable Devices
	5 Results
		5.1 Performance Expectancy
		5.2 Effort Expectancy
		5.3 Social Influence
		5.4 Facilitating Conditions
		5.5 Technology Anxiety
		5.6 Resistance to Change
	6 Recommendations for the Adoption and Redesign of Wearables for Dementia
		6.1 Strategies to Promote the Use of Wearable Devices
		6.2 Physical Decline Domain
		6.3 Social Domain
		6.4 Development Domain
	7 Discussion
	8 Conclusions
	References
Smart Wearable Technology for Health Tracking: What Are the Factors that Affect Their Use?
	1 Introduction
	2 Literature and Background Information
		2.1 TAM Model
		2.2 TAM2 Model
		2.3 UTAUT Model
		2.4 UTAUT2 Model
	3 Proposed Model
		3.1 Research Gap
		3.2 Proposed Model and Modifications
	4 Survey and Analysis
		4.1 Analysis of Results
		4.2 User Group Analysis
		4.3 Open-Ended Questions
	5 Interpretation of Results
	6 Conclusion
	References
Enablers for IoT Regarding Wearable Medical Devices to Support Healthy Living: The Five Facets
	1 Introduction
	2 Wearable Medical Devices
	3 Relevant Studies
	4 Study Design and Methodology
		4.1 The Questionnaire
		4.2 The Sample
		4.3 Method
	5 Enablers: The Five Facets
		5.1 Dependability
		5.2 Design
		5.3 Worthiness
		5.4 Privacy, Confidentiality, and Security
		5.5 Compatibility
		5.6 Checklist
	6 Discussion
	7 Conclusions
	References
Introducing Gamification for Advancing Current Mental Healthcare and Treatment Practices
	1 Introduction
	2 Gamification in the Primary Healthcare Sector
	3 From Primary Health Care to Mental Health Sectors
	4 Advancing Mental Health Diagnosis and Treatment Using Gamification
	5 Psychological Theories Underlying Gamification
	6 Existing Categories of Applied Games for the Therapeutic Change
		6.1 Exergaming
		6.2 VR/AR Gaming
		6.3 CBT-Based Gamification
		6.4 Biofeedback-Based Gamification
		6.5 Cognitive Training-Based Gamification
		6.6 Computer Gaming for Entertainment Purposes
		6.7 Mood Assessment Apps
	7 Current Opinions of Games in Psychotherapy
	8 Potential Limitations of Gamification in Mental Health Care
	9 Future Directions
	10 Conclusion
	References
Impact of Digital Technologies on the Efficiency of Healthcare Delivery
	1 Introduction
	2 Methodology
	3 Results
	4 Telemedicine Challenges
	5 Telemedicine Market
	6 Conclusion
	References
Digital Health or Internet of Things in Tele-Health: A Survey of Security Issues, Security Attacks, Sensors, Algorithms, Data Storage, Implementation Platforms, and Frameworks
	1 Introduction
	2 Materials and Methods
	3 Results
	4 Discussion
	5 Conclusion
	References
An Improvised Model for Securing Cloud-Based E-Healthcare Systems
	1 Introduction
	2 Prevailing Concerns with Healthcare Devices
		2.1 Data Privacy
		2.2 Decentralization
		2.3 Authentication
		2.4 Measurability
		2.5 Data Storage
		2.6 Security of Data
	3 Related Work
		3.1 Delivery Models
		3.2 Analyzing Existing Problems in Healthcare System
	4 Research Methodology
		4.1 Analyzing Existing Framework
	5 Improvised Methodology
		5.1 Current Framework
	6 Conclusion
	References
Human-Centered Design Smart Clothing for Ambient Assisted Living of Elderly Users: Considerations in the COVID-19 Pandemic Perspective
	1 Introduction
	2 COVID-19 and Human-Centered Design for Older Users
	3 The Impact of COVID-19 in Ambient Assisted Living (AAL)
	4 Smart Clothing for Elderly
	5 Smart Clothing Acceptance
	6 Discussion
	7 Conclusions
	References
Implicit Intention Communication for Activities of Daily Living of Elder/Disabled People to Improve Well-Being
	1 Introduction
	2 Approach to Implicit Intention Understanding with Eye-Gaze Communication
	3 Recognizing Activities of Daily Living to Improve Well-Being
		3.1 The ADL Recognition System
	4 Emerging Challenges of Eye-Gaze Tracking and Implicit Intention Communication
		4.1 Natural User Interaction
		4.2 Head Pose Invariant Gaze Estimation
		4.3 Implicit Intention Communication for Older People Who are Deaf and Disable
	5 Methodology
		5.1 Attention-Based Object Recognition
		5.2 Human Intention Inference
		5.3 Gaze-Based Implicit Intention Communication Framework
	6 Experiment Setup
		6.1 Implementation of the CNN-SVM Combined Model
		6.2 Questionnaire for Usability
	7 Conclusion
	References
A Semantic-Enabled Smart Home for AAL and Continuity of Care
	1 Introduction
	2 The Smart and Human-Centred Living Environment Experience
		2.1 Semantic Middleware
		2.2 Ontology as SH’s Knowledge Base
	3 Virtual Reality-Based Applications for Assistance and Rehabilitation at Home
		3.1 Domestic Environment Assistant
		3.2 Virtual Reality-Based Rehabilitative Applications and Systems
	4 Discussion
	5 Conclusions
	References